Overview

Dataset statistics

Number of variables4
Number of observations434
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory33.3 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description대구보훈병원에서 개방하는 월별 진료과별 퇴원환자 퇴원결과 현황 데이터로 월, 퇴원과, 퇴원결과, 결과건수가 포함된 데이터입니다.
URLhttps://www.data.go.kr/data/15116708/fileData.do

Reproduction

Analysis started2023-12-12 22:27:44.438580
Analysis finished2023-12-12 22:27:44.781300
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

월
Date

Distinct12
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T07:27:44.824147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:44.921050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

퇴원과
Categorical

Distinct15
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
순환기내과
62 
신장내과
54 
소화기내과
53 
신경외과
37 
내분비내과
33 
Other values (10)
195 

Length

Max length6
Median length5
Mean length4.2880184
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row내분비내과
2nd row외과
3rd row신장내과
4th row재활의학과
5th row외과

Common Values

ValueCountFrequency (%)
순환기내과 62
14.3%
신장내과 54
12.4%
소화기내과 53
12.2%
신경외과 37
8.5%
내분비내과 33
7.6%
정형외과 33
7.6%
가정의학과 32
7.4%
비뇨의학과 27
6.2%
외과 25
5.8%
재활의학과 25
5.8%
Other values (5) 53
12.2%

Length

2023-12-13T07:27:45.035411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
순환기내과 62
14.3%
신장내과 54
12.4%
소화기내과 53
12.2%
신경외과 37
8.5%
내분비내과 33
7.6%
정형외과 33
7.6%
가정의학과 32
7.4%
비뇨의학과 27
6.2%
외과 25
5.8%
재활의학과 25
5.8%
Other values (5) 53
12.2%

퇴원결과
Categorical

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
호전
125 
경쾌
102 
불변(호전안됨)
87 
48시간 후 사망
57 
진단만실시
40 
Other values (2)
23 

Length

Max length9
Median length2
Mean length4.6428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row호전
2nd row경쾌
3rd row경쾌
4th row경쾌
5th row불변(호전안됨)

Common Values

ValueCountFrequency (%)
호전 125
28.8%
경쾌 102
23.5%
불변(호전안됨) 87
20.0%
48시간 후 사망 57
13.1%
진단만실시 40
 
9.2%
48시간 전 사망 12
 
2.8%
치료안함 11
 
2.5%

Length

2023-12-13T07:27:45.164214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:27:45.301328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호전 125
21.9%
경쾌 102
17.8%
불변(호전안됨 87
15.2%
48시간 69
12.1%
사망 69
12.1%
후 57
10.0%
진단만실시 40
 
7.0%
전 12
 
2.1%
치료안함 11
 
1.9%

건수
Real number (ℝ)

Distinct71
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.195853
Minimum1
Maximum437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-13T07:27:45.502084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median4
Q319
95-th percentile57.35
Maximum437
Range436
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation31.300169
Coefficient of variation (CV)1.932604
Kurtosis77.656825
Mean16.195853
Median Absolute Deviation (MAD)3
Skewness6.809426
Sum7029
Variance979.70058
MonotonicityNot monotonic
2023-12-13T07:27:45.643225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 109
25.1%
2 62
14.3%
3 37
 
8.5%
4 22
 
5.1%
6 15
 
3.5%
5 12
 
2.8%
7 10
 
2.3%
14 9
 
2.1%
15 7
 
1.6%
10 7
 
1.6%
Other values (61) 144
33.2%
ValueCountFrequency (%)
1 109
25.1%
2 62
14.3%
3 37
 
8.5%
4 22
 
5.1%
5 12
 
2.8%
6 15
 
3.5%
7 10
 
2.3%
8 6
 
1.4%
9 5
 
1.2%
10 7
 
1.6%
ValueCountFrequency (%)
437 1
0.2%
160 1
0.2%
147 1
0.2%
138 1
0.2%
135 1
0.2%
133 1
0.2%
119 1
0.2%
102 1
0.2%
94 1
0.2%
87 1
0.2%

Interactions

2023-12-13T07:27:44.571397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:27:45.725888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월퇴원과퇴원결과건수
월1.0000.0000.0000.046
퇴원과0.0001.0000.4670.584
퇴원결과0.0000.4671.0000.296
건수0.0460.5840.2961.000
2023-12-13T07:27:45.825855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
퇴원과퇴원결과
퇴원과1.0000.230
퇴원결과0.2301.000
2023-12-13T07:27:45.913889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수퇴원과퇴원결과
건수1.0000.2850.194
퇴원과0.2851.0000.230
퇴원결과0.1940.2301.000

Missing values

2023-12-13T07:27:44.667777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:27:44.751469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

월퇴원과퇴원결과건수
02022-01내분비내과호전12
12022-01외과경쾌20
22022-01신장내과경쾌6
32022-01재활의학과경쾌5
42022-01외과불변(호전안됨)1
52022-01순환기내과48시간 후 사망1
62022-02소화기내과불변(호전안됨)9
72022-02외과경쾌15
82022-02안과호전47
92022-02생활치료센터호전138
월퇴원과퇴원결과건수
4242022-09가정의학과48시간 전 사망1
4252022-09정형외과불변(호전안됨)1
4262022-10재활의학과호전31
4272022-10신장내과48시간 후 사망3
4282022-10소화기내과불변(호전안됨)3
4292022-10소화기내과진단만실시1
4302022-11외과경쾌27
4312022-11신경외과불변(호전안됨)4
4322022-11신경과호전2
4332022-12안과호전34